SuperAnnotate
AI data platform for annotation, evaluation and dataset management, with an SDK and API for projects, items and annotations.
- Category
- Cloud & Data Platforms
- Type
- Data labeling
- Interface
- SDK
- Built with
- Connect Anything
- Credentials
- Access token
02Data
What you can sync.
- Projects
- Items
- Annotations
- Folders
Load SuperAnnotate projects into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other SuperAnnotate data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
SuperAnnotate uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in SuperAnnotate if you need help.
04How it works
How it works in DataMind.
-
Pick SuperAnnotate.
Open Lake, pick SuperAnnotate in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the SuperAnnotate API docs.
-
Answer a few questions.
The AI reads the SuperAnnotate documentation, then asks which credentials you will use, which data to sync (for example projects and items), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for SuperAnnotate, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
